Canadian Foundation for Dietetic Research
Bibliographic record
Abstract
Introduction: Malnutrition is generally under-recognized in older adults.Limited data exists on nutrition risk and malnutrition of older home care clients referred to dietitians.Objectives: The objectives are to determine the prevalence of malnutrition and nutrition risk among those referred to the home care dietitians and describe clients' clinical characteristics.Methods: We conducted a descriptive study of completed dietitian referrals for malnutrition and nutrition risk for home care clients 65 years and older received from home care professionals between May 1 to October 31, 2020.Demographics, referral reason, and clients' clinical characteristics were collected and analyzed using descriptive statistics.Referred clients were identified malnourished, at nutrition risk or not at nutrition risk based on clinical symptoms using the Global Leadership Initiative on Malnutrition (GLIM) criteria.Results: Home care dietitians received a total of 476 home care referrals, of which 205 (43%) were 65 and over. Correction / Correction
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.326 | 0.108 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".